Parametric mapping of blood flow and arterial blood volume in dynamic O-15 water brain PET by cluster analysis

Kyeong Min Kim, Hiroshi Watabe, Nobuyuki Kudomi, Takuya Hayashi, Kohei Hayashida, Hidehiro Iida

Research output: Contribution to journalConference articlepeer-review


A method for simultaneous parametric mapping of both cerebral blood flow (CBF) and cerebral blood volume of artery (CBVa) from single dynamic water image is presented. This method incorporates the 2-compartment model including arterial vascular volume (Va), and cluster analysis for suppressing noise in generating parametric image. A dynamic O-15 water PET scan was performed, after a static O-15 CO gas scan. Arterial input function was obtained during the dynamic scan. Using the reconstructed dynamic image, both images of CBF and CBVa were generated by the presented method. Both generated images of CBF and CBVa were compared to those generated by conventional autoradiography (ARG) and CO image. The CBF image by this method showed the elimination of CBVa component, and was comparable with that by ARG, in terms of quantitative CBF value and noise. The CBVa image showed the spatial distribution of activities of pure arterial blood volume only, quantitative value and suppressed noise, in contrast to the image of total blood volume from CO image including artery and vein together. The new method with cluster analysis could create the images with quantitative values of CBF and Va, with improved signal-to-noise ratio. The image of CBVa provided the intuitional information of arterial blood volume only. This method could contribute to improved diagnosis of cerebrovascular disease using O-15 water PET.

Original languageEnglish
Article numberM14-237
Pages (from-to)3108-3109
Number of pages2
JournalIEEE Nuclear Science Symposium Conference Record
Publication statusPublished - 2003
Event2003 IEEE Nuclear Science Symposium Conference Record - Nuclear Science Symposium, Medical Imaging Conference - Portland, OR, United States
Duration: 2003 Oct 192003 Oct 25


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